CycleGAN-based image translation from MRI to CT scans

In recent years, the application of deep learning techniques to medical image analysis has shown promising results in improving diagnosis and treatment of diseases. One such technique is CycleGAN, a variant of Generative Adversarial Networks (GANs) that enables unpaired image-to-image translation. T...

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Veröffentlicht in:	Journal of physics. Conference series 2023-12, Vol.2646 (1), p.12016
Hauptverfasser:	Cai, Yingchao, Li, Mengxiao, Liu, Shiqi, Zhou, Changhao
Format:	Artikel
Sprache:	eng
Schlagworte:	Computed tomography Consistency CycleGAN Deep Learning Diagnosis Generative Adversarial Networks Image analysis Image quality Magnetic resonance imaging Medical imaging MRI Physics
Online-Zugang:	Volltext
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